End of training

README.md

@@ -17,8 +17,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [bert-base-multilingual-cased](https://huggingface.co/bert-base-multilingual-cased) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.1478
-- Accuracy: 0.9561
+- Loss: 0.3739
+- Accuracy: 0.8622
 
 ## Model description
 
@@ -37,20 +37,21 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 3e-05
+- learning_rate: 2e-05
 - train_batch_size: 16
 - eval_batch_size: 16
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 2
+- num_epochs: 3
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.1296        | 1.0   | 1810 | 0.1433          | 0.9536   |
-| 0.0931        | 2.0   | 3620 | 0.1478          | 0.9561   |
+| 0.3413        | 1.0   | 2386 | 0.3541          | 0.8554   |
+| 0.3176        | 2.0   | 4772 | 0.3436          | 0.8643   |
+| 0.2444        | 3.0   | 7158 | 0.3739          | 0.8622   |
 
 
 ### Framework versions

model.safetensors

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training_args.bin

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